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IBM/Red Hat/Fedora: Snap ML, Red Hat Satellite, and More

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Red Hat
  • Use Snap ML to concurrently work on various machine learning projects – IBM Developer

    Snap ML adheres fully to the familiar scikit-learn API, offering ease of use. Data scientists using Python and scikit-learn functions can dramatically accelerate their applications by adding a single line of code, namely importing the Snap ML library. In addition, Snap ML interfaces seamlessly with scikit-learn data structures, offering users the broad spectrum of scikit-learn functions for tasks like data processing and feature engineering.

    For a team of data scientists to efficiently work concurrently on various machine learning projects, it’s crucial to be able to share resources effectively. With Watson Studio GPU Elastic Computing in IBM Cloud Pak for Data (available with the Watson Machine Learning Accelerator base service), GPU resources can be shared seamlessly across teams of data scientists. By combining Watson Studio, for fair resource sharing, and Snap ML, for high-performance model training and inference, teams of data scientists can experiment with data faster, leading to more insights and associated productivity increases.

  • Managing artifacts with Red Hat Satellite and JFrog Artifactory

    Red Hat Satellite is a systems management solution that can help an organization deploy, configure and maintain systems across multi-cloud environments and on-premises environments. Satellite provisions, monitors and remotely manages Red Hat Enterprise Linux deployments in a single centralized tool.

    JFrog Artifactory is a universal repository manager for binary life cycle management of artifacts, providing end-to-end management of artifacts throughout the software lifecycle process.

    The purpose of this post is to show how Artifactory’s repository management helps organize and distribute Satellite’s life cycle management capabilities to downstream layers to keep Enterprise Linux systems running with consistent packages across the enterprise.

  • Red Hat Insights and the delivery of a new security recommendation

    This is one story of how Red Hat Insights created a new recommendation to address a high impact vulnerability that might affect Red Hat customers. Red Hat Insights does this regularly for issues that involve Red Hat products, but what makes this one interesting is that it shows that Red Hat Insights can alert on high-visibility issues that are not delivered by Red Hat.

    In this case, a 3rd party vulnerability was made public on September 16. Red Hat developed and tested a detection mechanism for the issue, then created a series of new Insights recommendations to enable our customers to detect it.

    This answers two of the common questions we get about the Advisor service that is one of the services offered as a part of Red Hat Insights - how are new recommendations made, and how fast can they be created?

  • This is your final warning to re-certify, Red Hat tells tardy sysadmins

    Red Hat has told certified admins they need to re-certify by Christmas – or else.

    A Monday post by director of certification Randy Russell pointed out that in response to the COVID-19 pandemic, the Linux-slinging outfit extended the validity of certifications and allowed cancellation and/or re-scheduling of exams.

    The IBM-owned distro giant also launched a remote examination facility, so that even those under lockdown or who would rather not venture to an examination facility could take Red Hat's tests.

    Now the biz has decided that its months of deferrals and extensions must end. Current certifications will expire on December 31, 2021 unless renewed.

  • Beyond innovation: Digital Public Goods Alliance finds Fedora Linux to be a digital public good

    In the Fedora Project community, we look at open source as not only code that can change how we interact with computers, but also as a way for us to positively influence and shape the future. The more hands that help shape a project, the more ideas, viewpoints and experiences the project represents — that’s truly what the spirit of open source is built from.

    But it’s not just the global contributors to the Fedora Project who feel this way. Today, I’m pleased to say that Fedora Linux has been recognized as a digital public good by the Digital Public Goods Alliance (DPGA), a significant achievement and a testament to the openness and inclusivity of the project.

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today's howtos

  • How to install go1.19beta on Ubuntu 22.04 – NextGenTips

    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

  • molecule test: failed to connect to bus in systemd container - openQA bites

    Ansible Molecule is a project to help you test your ansible roles. I’m using molecule for automatically testing the ansible roles of geekoops.

  • How To Install MongoDB on AlmaLinux 9 - idroot

    In this tutorial, we will show you how to install MongoDB on AlmaLinux 9. For those of you who didn’t know, MongoDB is a high-performance, highly scalable document-oriented NoSQL database. Unlike in SQL databases where data is stored in rows and columns inside tables, in MongoDB, data is structured in JSON-like format inside records which are referred to as documents. The open-source attribute of MongoDB as a database software makes it an ideal candidate for almost any database-related project. This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo‘ to the commands to get root privileges. I will show you the step-by-step installation of the MongoDB NoSQL database on AlmaLinux 9. You can follow the same instructions for CentOS and Rocky Linux.

  • An introduction (and how-to) to Plugin Loader for the Steam Deck. - Invidious
  • Self-host a Ghost Blog With Traefik

    Ghost is a very popular open-source content management system. Started as an alternative to WordPress and it went on to become an alternative to Substack by focusing on membership and newsletter. The creators of Ghost offer managed Pro hosting but it may not fit everyone's budget. Alternatively, you can self-host it on your own cloud servers. On Linux handbook, we already have a guide on deploying Ghost with Docker in a reverse proxy setup. Instead of Ngnix reverse proxy, you can also use another software called Traefik with Docker. It is a popular open-source cloud-native application proxy, API Gateway, Edge-router, and more. I use Traefik to secure my websites using an SSL certificate obtained from Let's Encrypt. Once deployed, Traefik can automatically manage your certificates and their renewals. In this tutorial, I'll share the necessary steps for deploying a Ghost blog with Docker and Traefik.